Programmer Think

1, Introduction 1 overview of genetic algorithm Genetic Algorithm (GA) is a part of evolutionary computation. It is a computational model simulating Darwin's genetic selection and natural elimination of biological evolution process. It is a method to search the optimal solution by simulating the natural evolution process. The algorithm is simp ...

1, Introduction Mathematical morphology operations can be divided into binary morphology and gray morphology. Gray morphology is extended from binary morphology. Mathematical morphology has two basic operations, namely corrosion and expansion, and corrosion and expansion form open operation and closed operation through combination. The open op ...

catalogue 1 particle swarm optimization 2 two dimensional environment modeling 3 path planning 3.1 initialization 3.2 fitness function  ​3.3 simulation results 1 particle swarm optimization yes Particle swarm optimization The summary is as follows: particle swarm optimization algorithm is a population-based search process, in whic ...

1, Introduction Moth flame optimization algorithm (MFO) is a new intelligent optimization algorithm proposed by Seyedali Mirjalili in 2015 [1]. The algorithm has the performance characteristics of strong parallel optimization ability, excellent global performance and not easy to fall into local extremum, which has gradually attracted the atten ...

1, Introduction 1 overview of genetic algorithm Genetic Algorithm (GA) is a part of evolutionary computation. It is a computational model simulating Darwin's genetic selection and natural elimination of biological evolution process. It is a method to search the optimal solution by simulating the natural evolution process. The algorithm is simp ...

1, Flower pollination algorithm Flower Pollination Algorithm (FPA) was proposed by Yang, a scholar at Cambridge University in 2012. Its basic idea comes from the simulation of natural flower self pollination and cross pollination. It is a new meta heuristic swarm intelligent random optimization technology. In order to simplify the calculation, ...

1, Introduction 1 Overview BP (Back Propagation) neural network was proposed by the scientific research team headed by Rumelhart and McCelland in 1986. See their paper learning representations by Back Propagation errors published in Nature. BP neural network is a multilayer feedforward network trained by error back propagation algorithm. It i ...

1. Theoretical basis The propagation of light waves in free space can be described by a variety of theories. The most commonly used are Fresnel diffraction propagation, Fraunhofer diffraction propagation and angular spectrum theory. In essence, the three are consistent, but the applicable conditions are different. Franchoffer diffraction is g ...

1, Introduction Mathematical morphology operations can be divided into binary morphology and gray morphology. Gray morphology is extended from binary morphology. Mathematical morphology has two basic operations, namely corrosion and expansion, and corrosion and expansion form open operation and closed operation through combination. The open op ...

1, Introduction to orthogonal Latin square scrambling and two-dimensional Arnold scrambling 0 Introduction With the rapid development of communication technology, more and more fields need to transmit digital image signals, so the security of information transmission is becoming more and more important. There are two protection technologies co ...